Büntető

Büntető — CS2 Stats

HU76561199256853125[U:1:1296587397]Steam profile ↗✓ No bans

125Tracked matches57%Win rate2023Tracked since
721Hours in CS
CSDB Rating5.5 SolidClutch Specialist
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 55 days played since 6 Apr 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 8,487 +3,716 27 Oct21 Jun · 6 days played
4,77110,686peak 10,68627 Oct21 Jun
10,686Peak Premier in tracked matches
55Days played since 2024-04-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=12,274), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate45.4%43.8%44.8%meets
Shot accuracy10.5%12.0%12.4%1.9% short
Kill/death ratio1.121.021.04above
Match win rate47.2%44.7%45.2%above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBüntetőFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim71
Positioning52
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY41536Last 10041%Win rateLWLWWWLWLW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +0.1pp headshot accuracy · +3ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 673ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 691ms

Last 20

  • 128 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 689ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+2.2 against its own average).

Aim7.1
Utility3.5
Positioning5.2
Opening Duels0.5
Clutch6.0

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

sh1ro

Plays most like sh1ro 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 702ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.1
Positioning5.2
Utility3.5
Mechanics6.8
Opening Duels0.6
Win Impact7.2

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time685ms+24ms
first ⅓ avg 661ms → last ⅓ avg 685ms
Headshot accuracy23.6%−0.4%
first ⅓ avg 24.0% → last ⅓ avg 23.6%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.13Best match rating · 13–4 · cache, 12 Jul
60%Best headshot accuracy · 1–13 · office, 27 Oct
313msFastest reaction time · 0–9 · inferno, 12 Jul
13–1Biggest win · mirage, 8 Jun

Across the last 100 tracked matches.

Highlights

4Longest win streak
56In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 67% over 12mirageWeakest map · 35% over 34
MapGradePlayedRecordWin rateAvg rating
mirageC34122235%0.02
officeC2391439%0.01
dust2S128467%0.01
anubisC94544%-0.01
infernoC94544%-0.01
nuke41325%-0.01
ancient3030%-0.02
cache31233%0.03
vertigo220100%-0.04
italy1010%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (35% over 34). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,781Lifetime kills
1.12K/D · Top 50% of Level 5 players
1,732Matches
47.2%Match win rate · Top 50% of Level 5 players
45.4%Headshot % · Top 50% of Level 5 players
10.5%Shot accuracy
4,878MVPs
721Hours (in match)
1,067Bombs planted
302Bombs defused

Most-used weapons

Lifetime map wins

2,223office
2,026inferno
1,079dust2
743nuke
329vertigo
203train
75italy
72cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

44Matches
55%Win rate
1.09Avg K/D
69.7ADR
53%Headshot %

Clutches & streaks

50%1v1 clutch win
18%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1164%1.2114.2
Dust2956%1.1513.6
Anubis850%1.2418.0
Inferno475%1.5821.3
Nuke250%0.8411.0
Cache10%0.538.0
Ancient10%1.0014.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

24.7%Headshot accuracy
34.1%Accuracy (enemy spotted)
37.9%Spray accuracy
80.8%Counter-strafing
8.9°Preaim
702msReaction time
29.3%T opening success
34.6%CT opening success
0.51Enemies flashed / flash
1.4%Flash assists
10.41HE damage / grenade
3.20Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 701.8618ms — above the 700ms mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.2003 — below the 4 mark we flag

    Grenade Lineups
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 29.3478% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

35% win rate across 34 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis17–19-0.0620%1 Aug
anubis16–13-0.0136%1 Aug
inferno13–160.0131%1 Aug
anubis13–5-0.0016%26 Jul
inferno13–110.0127%26 Jul
inferno13–80.0829%25 Jul
mirage10–130.0028%24 Jul
mirage13–40.0216%24 Jul
anubis14–160.0219%24 Jul
dust213–60.0420%24 Jul
dust213–11-0.1116%24 Jul
mirage13–80.1222%24 Jul
mirage13–30.0516%23 Jul
dust211–13-0.0621%23 Jul
mirage13–90.0517%23 Jul
mirage13–90.0132%23 Jul
mirage8–130.0121%23 Jul
ancient7–130.0727%23 Jul
anubis13–7-0.0140%21 Jul
mirage8–13-0.0330%18 Jul
anubis9–130.0118%18 Jul
dust213–40.0826%18 Jul
dust28–13-0.0723%15 Jul
dust210–130.0921%15 Jul
mirage13–40.0519%15 Jul
mirage13–9-0.0133%15 Jul
cache5–13-0.0424%15 Jul
dust216–130.0331%14 Jul
inferno13–50.1327%14 Jul
nuke5–13-0.0421%14 Jul
dust26–13-0.0724%14 Jul
mirage6–130.0428%14 Jul
inferno0–9-0.270%12 Jul
dust213–20.0529%12 Jul
anubis1–13-0.0624%12 Jul
mirage2–130.0226%12 Jul
cache13–40.1324%12 Jul
mirage6–130.0023%11 Jul
anubis13–80.0320%11 Jul
mirage14–160.0128%11 Jul
mirage7–130.0922%11 Jul
mirage11–13-0.0626%10 Jul
cache8–13-0.0127%10 Jul
inferno4–13-0.0118%10 Jul
inferno13–90.0328%9 Jul
mirage11–13-0.0516%9 Jul
dust213–30.1226%9 Jul
mirage3–13-0.098%8 Jul
mirage1–13-0.0340%8 Jul
office4–13-0.0150%7 Jul
dust213–90.0429%21 Jun
ancient2–13-0.0526%18 Jun
dust213–20.0416%18 Jun
mirage13–60.0720%14 Jun
mirage13–160.0223%14 Feb
ancient0–4-0.0833%13 Feb
mirage6–130.0313%13 Feb
mirage13–60.0211%6 Feb
office12–12-0.0450%31 Jan
office8–8-0.0128%31 Jan
office13–7-0.0028%24 Jan
mirage7–130.1127%22 Jan
nuke3–130.0038%29 Oct
office1–13-0.0560%27 Oct
office13–50.0429%12 Oct
anubis5–13-0.0325%5 Oct
office2–90.0314%5 Oct
mirage12–120.0318%12 Sept
office13–110.0324%22 Aug
inferno5–9-0.1414%22 Aug
office8–130.0238%20 Aug
office6–13-0.1018%18 Aug
vertigo13–7-0.0719%15 Aug
office8–130.0024%15 Aug
nuke12–120.0423%15 Aug
mirage8–130.0331%14 Aug
office13–20.1338%14 Aug
office13–50.1129%11 Aug
mirage13–60.0313%9 Aug
inferno8–130.0623%7 Aug
office3–13-0.0019%3 Aug
mirage10–130.0124%2 Aug
office3–130.0250%31 Jul
office13–70.0120%28 Jul
office12–120.0238%27 Jul
mirage1–13-0.0738%28 Feb
nuke13–6-0.0426%26 Feb
office6–130.0123%24 Feb
italy12–120.0422%22 Feb
mirage7–130.0226%21 Feb
office10–130.0721%18 Feb
office13–30.0317%18 Feb
mirage13–80.0124%18 Feb
mirage5–130.0516%27 Oct
mirage6–13-0.004%16 Aug
office7–13-0.0421%13 Aug
office13–40.0038%26 Jun
mirage13–10.0112%8 Jun
office12–120.0616%25 May
vertigo13–11-0.0128%6 Apr

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →